AVP / Senior Associate, Data & Business Analyst, Group Legal, Compliance & Secretariat

About the role

The Group Legal, Compliance & Secretariat (LCS) manages legal, regulatory and financial crime risks at DBS. This role applies data analytics to assess customer screening and real-time payment-message screening performance across all DBS operating countries, and recommends improvements to detection logic, risk coverage and operational efficiency. It is based in DBS Asia Central and is a full-time position.

Key responsibilities

• Analyse and recommend enhancements to detection logic and algorithms for customer onboarding, ongoing monitoring and real-time payment-message screening (including SWIFT messages), balancing alert efficiency with risk coverage.
• Act as the screening analytics SME with Compliance, Technology, Business Units and Operations, presenting findings and defining requirements and recommendations.
• Analyse screening performance, alert drivers and emerging financial crime risks, and develop and backtest detection rules, matching logic, thresholds and risk scoring.
• Maintain analytical methodologies and testing evidence, and support regulatory, audit and assurance reviews.
• Translate findings into requirements, acceptance criteria and test scenarios, and support UAT and implementation validation.
• Deliver regular reports on screening performance indicators, alert trends and emerging risks, and support ad hoc requests.

Required profile

• Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Data Science or a related discipline.
• 8-10 years of progressive experience in financial services, consulting or a similar regulated industry, with expertise in financial crime prevention and data analytics.
• Extensive experience performing financial crime analytics and acting as SME for Compliance, Technology, Operations and Business stakeholders.
• Strong foundation in AML/CFT/KYC requirements and financial crime risk management; hands-on screening analytics experience preferred, with exposure to SWIFT screening highly desirable.
• Excellent communication, presentation and stakeholder management skills, and a proactive, independent approach.

Required skills

• Proven proficiency in Python (required).
• Experience with big data technologies and data warehousing is highly desirable.
• Ability to analyse and manipulate large, complex datasets (millions of records).
• Familiarity with financial crime detection platforms; data visualisation tools such as Tableau desirable.